Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:34:38.758492
Analysis finished2020-08-25 00:35:48.225495
Duration1 minute and 9.47 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.646143117488123e-10
Minimum-1.70480477809906
Maximum1.6902674436569214
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:48.272851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.704804778
5-th percentile-1.539257038
Q1-0.9008883238
median0.04078583606
Q30.8840611726
95-th percentile1.534524441
Maximum1.690267444
Range3.395072222
Interquartile range (IQR)1.784949496

Descriptive statistics

Standard deviation0.9999999976
Coefficient of variation (CV)-1771120527
Kurtosis-1.221847963
Mean-5.646143117e-10
Median Absolute Deviation (MAD)0.8815787267
Skewness-0.03287315983
Sum-5.646143117e-07
Variance0.9999999951
2020-08-25T00:35:48.374860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.744036674510.1%
 
1.16542005510.1%
 
-1.59125065810.1%
 
0.813202619610.1%
 
-0.354841172710.1%
 
-1.63811314110.1%
 
-1.31661260110.1%
 
1.62248432610.1%
 
0.34800043710.1%
 
-0.423962950710.1%
 
-0.895213127110.1%
 
-1.06894516910.1%
 
-0.54169827710.1%
 
1.59483349310.1%
 
-1.30533218410.1%
 
-1.21619212610.1%
 
1.68877780410.1%
 
-0.945984482810.1%
 
-1.5182859910.1%
 
0.0530347339810.1%
 
0.103910431310.1%
 
0.652470350310.1%
 
-1.38022184410.1%
 
0.63346892610.1%
 
0.351090192810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70480477810.1%
 
-1.70100653210.1%
 
-1.70009195810.1%
 
-1.69649386410.1%
 
-1.69439744910.1%
 
-1.6899739510.1%
 
-1.68849539810.1%
 
-1.68720161910.1%
 
-1.68510985410.1%
 
-1.67953288610.1%
 
ValueCountFrequency (%) 
1.69026744410.1%
 
1.68877780410.1%
 
1.68801009710.1%
 
1.67657828310.1%
 
1.67384767510.1%
 
1.6735529910.1%
 
1.67267596710.1%
 
1.67234194310.1%
 
1.66157996710.1%
 
1.65779888610.1%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.838243618607521e-10
Minimum-1.69827401638031
Maximum1.7456897497177124
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:48.491504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.698274016
5-th percentile-1.520380104
Q1-0.858788088
median-0.02253375947
Q30.8575276136
95-th percentile1.600043184
Maximum1.74568975
Range3.443963766
Interquartile range (IQR)1.716315702

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1275796020
Kurtosis-1.18289081
Mean7.838243619e-10
Median Absolute Deviation (MAD)0.8594396859
Skewness0.03766310516
Sum7.838243619e-07
Variance1.000000003
2020-08-25T00:35:48.593886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.896479785410.1%
 
0.269845038710.1%
 
0.0765888094910.1%
 
0.899083435510.1%
 
-1.31378960610.1%
 
0.35042077310.1%
 
0.880518853710.1%
 
1.31746637810.1%
 
1.03252708910.1%
 
-1.1474574810.1%
 
0.679257869710.1%
 
1.20439553310.1%
 
0.658835828310.1%
 
1.48954474910.1%
 
-1.67313361210.1%
 
-0.783829808210.1%
 
0.869746923410.1%
 
-0.840467989410.1%
 
-0.32941311610.1%
 
-0.605593919810.1%
 
0.629527151610.1%
 
1.16920590410.1%
 
-1.59889030510.1%
 
-1.66063642510.1%
 
-0.887481868310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.69827401610.1%
 
-1.69588458510.1%
 
-1.69357323610.1%
 
-1.69135427510.1%
 
-1.6910263310.1%
 
-1.68912768410.1%
 
-1.6857360610.1%
 
-1.68370866810.1%
 
-1.67313361210.1%
 
-1.67020499710.1%
 
ValueCountFrequency (%) 
1.7456897510.1%
 
1.7456610210.1%
 
1.74552917510.1%
 
1.7439062610.1%
 
1.74126744310.1%
 
1.72849261810.1%
 
1.72015380910.1%
 
1.71929156810.1%
 
1.71828460710.1%
 
1.71490418910.1%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0395888230263495e-09
Minimum-1.750298023223877
Maximum1.7302485704421997
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:48.710650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.750298023
5-th percentile-1.550089252
Q1-0.8273058385
median-0.02385088708
Q30.8751237243
95-th percentile1.568526924
Maximum1.73024857
Range3.480546594
Interquartile range (IQR)1.702429563

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-961918770.4
Kurtosis-1.173125534
Mean-1.039588823e-09
Median Absolute Deviation (MAD)0.8494228115
Skewness0.009643785363
Sum-1.039588823e-06
Variance1.000000005
2020-08-25T00:35:48.814034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.27734112710.1%
 
-1.63023364510.1%
 
-0.265969157210.1%
 
1.14199757610.1%
 
1.48964858110.1%
 
-1.15655624910.1%
 
-0.42807373410.1%
 
0.772160768510.1%
 
-1.55603921410.1%
 
-0.0404473990210.1%
 
-0.0185757521510.1%
 
-1.29085564610.1%
 
-1.36115050310.1%
 
-0.116615690310.1%
 
1.17054164410.1%
 
-0.945970654510.1%
 
1.15039670510.1%
 
-1.4778801210.1%
 
-0.526047825810.1%
 
-0.268178522610.1%
 
0.183350667410.1%
 
0.592449963110.1%
 
0.239474281710.1%
 
0.300932437210.1%
 
-1.13801872710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75029802310.1%
 
-1.74809265110.1%
 
-1.74749028710.1%
 
-1.73697805410.1%
 
-1.73483705510.1%
 
-1.73462140610.1%
 
-1.73157596610.1%
 
-1.73055553410.1%
 
-1.72717332810.1%
 
-1.72318124810.1%
 
ValueCountFrequency (%) 
1.7302485710.1%
 
1.72893512210.1%
 
1.72651660410.1%
 
1.71739673610.1%
 
1.71472525610.1%
 
1.71455717110.1%
 
1.70949065710.1%
 
1.7065759910.1%
 
1.70627152910.1%
 
1.70183455910.1%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3684621080756188e-09
Minimum-1.7380471229553225
Maximum1.779175043106079
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:48.935657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.738047123
5-th percentile-1.551767778
Q1-0.8547862619
median0.006312524667
Q30.8400511742
95-th percentile1.584760404
Maximum1.779175043
Range3.517222166
Interquartile range (IQR)1.694837436

Descriptive statistics

Standard deviation0.9999999998
Coefficient of variation (CV)-730747306.7
Kurtosis-1.148614805
Mean-1.368462108e-09
Median Absolute Deviation (MAD)0.8448920005
Skewness0.04342234858
Sum-1.368462108e-06
Variance0.9999999997
2020-08-25T00:35:49.040890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.56249821210.1%
 
0.0251285675910.1%
 
-1.52995967910.1%
 
1.41933214710.1%
 
-0.197924569210.1%
 
-0.15886059410.1%
 
0.528133451910.1%
 
0.179031193310.1%
 
-0.0305995475510.1%
 
0.910824835310.1%
 
-0.292326241710.1%
 
0.251310229310.1%
 
0.72136783610.1%
 
-1.64711284610.1%
 
0.169649928810.1%
 
-0.985672891110.1%
 
-0.0471588149710.1%
 
-0.215536147410.1%
 
0.963542997810.1%
 
-0.177082911110.1%
 
-0.953776538410.1%
 
0.920572400110.1%
 
-1.13801574710.1%
 
-1.4270763410.1%
 
0.740878045610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73804712310.1%
 
-1.73719251210.1%
 
-1.73336362810.1%
 
-1.73331975910.1%
 
-1.73249304310.1%
 
-1.73074388510.1%
 
-1.72765457610.1%
 
-1.71799349810.1%
 
-1.71406471710.1%
 
-1.71213686510.1%
 
ValueCountFrequency (%) 
1.77917504310.1%
 
1.77851593510.1%
 
1.7737119210.1%
 
1.76202797910.1%
 
1.7618665710.1%
 
1.76104354910.1%
 
1.75936746610.1%
 
1.75526440110.1%
 
1.75286686410.1%
 
1.7493894110.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2293457984924317e-09
Minimum-1.7364145517349243
Maximum1.7066607475280762
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:49.160755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.736414552
5-th percentile-1.590822095
Q1-0.8309510946
median0.01164613571
Q30.8713972867
95-th percentile1.538749802
Maximum1.706660748
Range3.443075299
Interquartile range (IQR)1.702348381

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)813440776.2
Kurtosis-1.173934493
Mean1.229345798e-09
Median Absolute Deviation (MAD)0.8485951126
Skewness-0.02608793272
Sum1.229345798e-06
Variance1.000000001
2020-08-25T00:35:49.265189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.53864824810.1%
 
-0.916672825810.1%
 
-0.901066839710.1%
 
1.70447647610.1%
 
-1.56774902310.1%
 
1.00524735510.1%
 
0.0498144142310.1%
 
0.658870637410.1%
 
1.56625127810.1%
 
0.144208893210.1%
 
1.22398161910.1%
 
-0.250330895210.1%
 
1.52475845810.1%
 
0.0826019421210.1%
 
1.17837059510.1%
 
-1.3997491610.1%
 
0.187034606910.1%
 
0.434897124810.1%
 
1.23177063510.1%
 
-0.912757515910.1%
 
-0.136879995510.1%
 
-1.18433165610.1%
 
0.262040942910.1%
 
1.53353190410.1%
 
1.29168665410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73641455210.1%
 
-1.73615217210.1%
 
-1.73275494610.1%
 
-1.73056948210.1%
 
-1.72584128410.1%
 
-1.72295963810.1%
 
-1.7220742710.1%
 
-1.72045767310.1%
 
-1.71521711310.1%
 
-1.71189248610.1%
 
ValueCountFrequency (%) 
1.70666074810.1%
 
1.70630407310.1%
 
1.70627319810.1%
 
1.70447647610.1%
 
1.70304834810.1%
 
1.70222604310.1%
 
1.69176733510.1%
 
1.69049060310.1%
 
1.68777072410.1%
 
1.68493282810.1%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.767506081610918e-10
Minimum-1.7745540142059326
Maximum1.7079422473907468
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:49.379762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.774554014
5-th percentile-1.576555669
Q1-0.8250383288
median0.01842552703
Q30.9061727226
95-th percentile1.535965484
Maximum1.707942247
Range3.482496262
Interquartile range (IQR)1.731211051

Descriptive statistics

Standard deviation0.9999999983
Coefficient of variation (CV)1733851658
Kurtosis-1.164987784
Mean5.767506082e-10
Median Absolute Deviation (MAD)0.8554334668
Skewness-0.03386484579
Sum5.767506082e-07
Variance0.9999999965
2020-08-25T00:35:49.490222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.240234255810.1%
 
-1.22392046510.1%
 
-1.25228452710.1%
 
0.456379741410.1%
 
0.926431536710.1%
 
0.818678617510.1%
 
1.0911372910.1%
 
0.91537201410.1%
 
-0.273116499210.1%
 
0.0181474946410.1%
 
1.56893360610.1%
 
-0.0867496505410.1%
 
-0.72329306610.1%
 
0.967432916210.1%
 
0.0340972803510.1%
 
0.434885650910.1%
 
0.301081299810.1%
 
0.0965441390910.1%
 
0.078935407110.1%
 
-0.785776674710.1%
 
0.289372265310.1%
 
-0.919303417210.1%
 
0.840460956110.1%
 
0.440736919610.1%
 
-0.293275833110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77455401410.1%
 
-1.77370953610.1%
 
-1.77041149110.1%
 
-1.76443684110.1%
 
-1.76114523410.1%
 
-1.7602397210.1%
 
-1.75940668610.1%
 
-1.75750637110.1%
 
-1.75274527110.1%
 
-1.74988973110.1%
 
ValueCountFrequency (%) 
1.70794224710.1%
 
1.70369553610.1%
 
1.70053684710.1%
 
1.69768905610.1%
 
1.69708812210.1%
 
1.69708526110.1%
 
1.69596064110.1%
 
1.69526076310.1%
 
1.6907926810.1%
 
1.67816472110.1%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.854534149169922e-10
Minimum-1.7554177045822144
Maximum1.740831732749939
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:49.607549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.755417705
5-th percentile-1.589920467
Q1-0.8343246281
median0.008853551699
Q30.8609461486
95-th percentile1.580089688
Maximum1.740831733
Range3.496249437
Interquartile range (IQR)1.695270777

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1458888349
Kurtosis-1.135568466
Mean6.854534149e-10
Median Absolute Deviation (MAD)0.8476347029
Skewness-0.009902892878
Sum6.854534149e-07
Variance1.000000001
2020-08-25T00:35:49.708379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.533202409710.1%
 
0.476249933210.1%
 
1.05598962310.1%
 
0.255279570810.1%
 
-0.435223460210.1%
 
1.38151979410.1%
 
-1.34504103710.1%
 
-0.0767405033110.1%
 
1.66143965710.1%
 
-0.846342325210.1%
 
-1.49737119710.1%
 
0.578762888910.1%
 
0.263013482110.1%
 
-0.360918998710.1%
 
-1.12425923310.1%
 
-1.41921794410.1%
 
-1.20275008710.1%
 
0.410467743910.1%
 
-0.602400422110.1%
 
1.23170745410.1%
 
1.35279226310.1%
 
1.71033394310.1%
 
-1.46216273310.1%
 
-0.856445848910.1%
 
-0.298156976710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75541770510.1%
 
-1.75353157510.1%
 
-1.74995231610.1%
 
-1.74664413910.1%
 
-1.74372947210.1%
 
-1.74222934210.1%
 
-1.7357091910.1%
 
-1.73106169710.1%
 
-1.72931230110.1%
 
-1.72499024910.1%
 
ValueCountFrequency (%) 
1.74083173310.1%
 
1.73960661910.1%
 
1.73870050910.1%
 
1.73837244510.1%
 
1.73412179910.1%
 
1.73387515510.1%
 
1.73106813410.1%
 
1.72817325610.1%
 
1.71675980110.1%
 
1.71581900110.1%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1897722035646439e-10
Minimum-1.7184406518936155
Maximum1.7173211574554443
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:49.985083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.718440652
5-th percentile-1.568552631
Q1-0.8715377897
median0.01076671621
Q30.8500035554
95-th percentile1.53187933
Maximum1.717321157
Range3.435761809
Interquartile range (IQR)1.721541345

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)-4566685054
Kurtosis-1.206369057
Mean-2.189772204e-10
Median Absolute Deviation (MAD)0.8566237972
Skewness-0.01777923928
Sum-2.189772204e-07
Variance0.9999999986
2020-08-25T00:35:50.086729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.57030606310.1%
 
-0.930327236710.1%
 
1.08337104310.1%
 
-1.24743068210.1%
 
-1.34507834910.1%
 
-0.645194172910.1%
 
-1.67320108410.1%
 
-1.35679113910.1%
 
0.357749283310.1%
 
0.602216541810.1%
 
1.21224474910.1%
 
-0.311847478210.1%
 
0.820959448810.1%
 
-1.60808324810.1%
 
-0.54361009610.1%
 
-0.342077374510.1%
 
-1.70826458910.1%
 
0.565091669610.1%
 
0.582667529610.1%
 
-1.17314469810.1%
 
1.68486201810.1%
 
-0.651023030310.1%
 
1.34110724910.1%
 
1.70829200710.1%
 
1.24735295810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71844065210.1%
 
-1.71503639210.1%
 
-1.70826458910.1%
 
-1.70133328410.1%
 
-1.70129144210.1%
 
-1.70093631710.1%
 
-1.70085179810.1%
 
-1.69681084210.1%
 
-1.69652330910.1%
 
-1.69409000910.1%
 
ValueCountFrequency (%) 
1.71732115710.1%
 
1.71688294410.1%
 
1.7157181510.1%
 
1.71460282810.1%
 
1.71242952310.1%
 
1.71178042910.1%
 
1.71015930210.1%
 
1.70917534810.1%
 
1.70829200710.1%
 
1.70822870710.1%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.936009645462036e-11
Minimum-1.7487194538116455
Maximum1.7307515144348145
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:50.201388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.748719454
5-th percentile-1.516935962
Q1-0.8955606669
median0.03541192226
Q30.8568174243
95-th percentile1.520034021
Maximum1.730751514
Range3.479470968
Interquartile range (IQR)1.752378091

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)-2.025927968e+10
Kurtosis-1.245699927
Mean-4.936009645e-11
Median Absolute Deviation (MAD)0.8708900195
Skewness-0.001456440212
Sum-4.936009645e-08
Variance0.9999999986
2020-08-25T00:35:50.304753image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.178222551910.1%
 
0.564633011810.1%
 
1.20837485810.1%
 
0.171554341910.1%
 
0.216964274610.1%
 
-0.697933673910.1%
 
0.151045545910.1%
 
-1.59055888710.1%
 
0.351891696510.1%
 
-0.994796752910.1%
 
-1.24740755610.1%
 
-1.56484496610.1%
 
1.63070905210.1%
 
1.26302337610.1%
 
-0.0816244557510.1%
 
-0.592444419910.1%
 
0.590464770810.1%
 
1.34895062410.1%
 
-1.25519895610.1%
 
1.32419860410.1%
 
-0.645172178710.1%
 
-1.73565137410.1%
 
-1.30163145110.1%
 
0.398755073510.1%
 
1.36454749110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74871945410.1%
 
-1.74491357810.1%
 
-1.7415769110.1%
 
-1.73872470910.1%
 
-1.73866760710.1%
 
-1.73647022210.1%
 
-1.73565137410.1%
 
-1.73375213110.1%
 
-1.72865152410.1%
 
-1.72382378610.1%
 
ValueCountFrequency (%) 
1.73075151410.1%
 
1.72939610510.1%
 
1.721867810.1%
 
1.72011804610.1%
 
1.71342372910.1%
 
1.71187746510.1%
 
1.70964455610.1%
 
1.70720028910.1%
 
1.70679628810.1%
 
1.70468640310.1%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.200264811515808e-10
Minimum-1.7649545669555664
Maximum1.72084641456604
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:50.420674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.764954567
5-th percentile-1.565366125
Q1-0.8534593731
median0.01487445412
Q30.8446820676
95-th percentile1.549628133
Maximum1.720846415
Range3.485800982
Interquartile range (IQR)1.698141441

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-2380802267
Kurtosis-1.183898345
Mean-4.200264812e-10
Median Absolute Deviation (MAD)0.8545159101
Skewness-0.02352624502
Sum-4.200264812e-07
Variance0.9999999973
2020-08-25T00:35:50.530800image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.70058715310.1%
 
-1.3176802410.1%
 
-0.528012096910.1%
 
-1.24352157110.1%
 
1.50523173810.1%
 
0.598313033610.1%
 
1.50130593810.1%
 
-0.0811362117510.1%
 
-0.321224629910.1%
 
0.779943704610.1%
 
1.22917890510.1%
 
0.308915227710.1%
 
-0.701545476910.1%
 
1.7004971510.1%
 
-0.453444242510.1%
 
1.38017690210.1%
 
-0.960323929810.1%
 
-0.09196173410.1%
 
0.628337562110.1%
 
0.895161688310.1%
 
0.721330642710.1%
 
-0.56577289110.1%
 
-0.617813706410.1%
 
0.71239024410.1%
 
0.684216976210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76495456710.1%
 
-1.76310086310.1%
 
-1.75263643310.1%
 
-1.75189888510.1%
 
-1.74604260910.1%
 
-1.74515473810.1%
 
-1.73657357710.1%
 
-1.72898495210.1%
 
-1.72723364810.1%
 
-1.72449123910.1%
 
ValueCountFrequency (%) 
1.72084641510.1%
 
1.71867835510.1%
 
1.70903158210.1%
 
1.70559692410.1%
 
1.7004971510.1%
 
1.69934165510.1%
 
1.69288623310.1%
 
1.68553066310.1%
 
1.68217003310.1%
 
1.68029868610.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.705522537231445e-10
Minimum-1.7503273487091064
Maximum1.6680078506469729
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:50.647160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.750327349
5-th percentile-1.588917637
Q1-0.8375166804
median0.04732620902
Q30.8656719476
95-th percentile1.542900598
Maximum1.668007851
Range3.418335199
Interquartile range (IQR)1.703188628

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)-1491308088
Kurtosis-1.194465447
Mean-6.705522537e-10
Median Absolute Deviation (MAD)0.8542329371
Skewness-0.06579228528
Sum-6.705522537e-07
Variance0.9999999988
2020-08-25T00:35:50.754820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0676267892110.1%
 
-1.00647914410.1%
 
-0.524136781710.1%
 
-0.68624293810.1%
 
1.21180105210.1%
 
0.233713865310.1%
 
-0.254251599310.1%
 
1.22773313510.1%
 
0.0464295223410.1%
 
-0.203296378310.1%
 
1.04432976210.1%
 
1.64142286810.1%
 
0.5084894310.1%
 
-0.414400070910.1%
 
-1.39978194210.1%
 
1.30211210310.1%
 
0.398124247810.1%
 
-0.965846300110.1%
 
1.01694142810.1%
 
0.0185141991810.1%
 
-1.10136067910.1%
 
1.46744370510.1%
 
1.44271063810.1%
 
0.972005963310.1%
 
0.740882694710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75032734910.1%
 
-1.74866497510.1%
 
-1.74542725110.1%
 
-1.74268984810.1%
 
-1.73759484310.1%
 
-1.73097217110.1%
 
-1.72516906310.1%
 
-1.7225220210.1%
 
-1.71601724610.1%
 
-1.71584093610.1%
 
ValueCountFrequency (%) 
1.66800785110.1%
 
1.66740274410.1%
 
1.66705131510.1%
 
1.66624844110.1%
 
1.66412031710.1%
 
1.66383707510.1%
 
1.66040825810.1%
 
1.65268635710.1%
 
1.65155267710.1%
 
1.64961373810.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.408633008599281e-10
Minimum-1.7812917232513428
Maximum3.911420583724976
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:50.869903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.781291723
5-th percentile-1.032236212
Q1-0.6979040951
median-0.3054791093
Q30.379296124
95-th percentile2.13502537
Maximum3.911420584
Range5.692712307
Interquartile range (IQR)1.077200219

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)4151732533
Kurtosis2.00556042
Mean2.408633009e-10
Median Absolute Deviation (MAD)0.4683272839
Skewness1.447257539
Sum2.408633009e-07
Variance1.000000004
2020-08-25T00:35:50.983116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2.8934698110.1%
 
0.891223490210.1%
 
1.72780406510.1%
 
0.658822834510.1%
 
-0.397260963910.1%
 
-0.441609591210.1%
 
-0.995386004410.1%
 
0.21420210610.1%
 
1.99487829210.1%
 
-1.06761944310.1%
 
-0.914668917710.1%
 
-0.594354987110.1%
 
-0.0261419098810.1%
 
0.0402256958210.1%
 
-0.337214440110.1%
 
-0.996302008610.1%
 
-1.00893795510.1%
 
0.264945626310.1%
 
1.53138029610.1%
 
-0.879498004910.1%
 
-0.580171048610.1%
 
-0.944235444110.1%
 
2.87731790510.1%
 
-0.424116551910.1%
 
-0.588463962110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78129172310.1%
 
-1.49597144110.1%
 
-1.43698191610.1%
 
-1.39753174810.1%
 
-1.38023924810.1%
 
-1.37645757210.1%
 
-1.37618553610.1%
 
-1.35887157910.1%
 
-1.34759211510.1%
 
-1.34507298510.1%
 
ValueCountFrequency (%) 
3.91142058410.1%
 
3.88649177610.1%
 
3.83646988910.1%
 
3.78250241310.1%
 
3.74901390110.1%
 
3.73896050510.1%
 
3.71920371110.1%
 
3.70288968110.1%
 
3.68102812810.1%
 
3.54021692310.1%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.15371390288999e-10
Minimum-1.759259581565857
Maximum1.7199716567993164
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:51.102220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.759259582
5-th percentile-1.59086799
Q1-0.8576884419
median0.005487118149
Q30.8438207656
95-th percentile1.532128853
Maximum1.719971657
Range3.479231238
Interquartile range (IQR)1.701509207

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1625034925
Kurtosis-1.169035991
Mean-6.153713903e-10
Median Absolute Deviation (MAD)0.8535271545
Skewness-0.05032412262
Sum-6.153713903e-07
Variance1.000000002
2020-08-25T00:35:51.206548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.625927686710.1%
 
0.817064106510.1%
 
-0.513741850910.1%
 
0.0224770735910.1%
 
0.123938731810.1%
 
0.784561753310.1%
 
0.135422006210.1%
 
0.098716847610.1%
 
-0.162277013110.1%
 
0.0701980143810.1%
 
1.54601955410.1%
 
-1.66608440910.1%
 
-1.16664409610.1%
 
1.34116625810.1%
 
0.390757590510.1%
 
0.357749134310.1%
 
0.234042048510.1%
 
-0.286455780310.1%
 
-0.0174761824310.1%
 
0.989591896510.1%
 
-0.549468457710.1%
 
0.545560717610.1%
 
1.55777132510.1%
 
-1.22002160510.1%
 
0.41340336210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75925958210.1%
 
-1.75551736410.1%
 
-1.75473046310.1%
 
-1.74397516310.1%
 
-1.73351669310.1%
 
-1.73139250310.1%
 
-1.72944045110.1%
 
-1.72710049210.1%
 
-1.72351455710.1%
 
-1.71513569410.1%
 
ValueCountFrequency (%) 
1.71997165710.1%
 
1.71988356110.1%
 
1.71608579210.1%
 
1.71478557610.1%
 
1.70880985310.1%
 
1.69894504510.1%
 
1.68116354910.1%
 
1.67859590110.1%
 
1.67638170710.1%
 
1.67575037510.1%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3212848006816102e-09
Minimum-1.736835241317749
Maximum1.7105809450149536
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:51.324019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.736835241
5-th percentile-1.544109488
Q1-0.8701922894
median0.002788633297
Q30.902096808
95-th percentile1.528312415
Maximum1.710580945
Range3.447416186
Interquartile range (IQR)1.772289097

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-756839100.9
Kurtosis-1.239858625
Mean-1.321284801e-09
Median Absolute Deviation (MAD)0.8774907591
Skewness-0.0165210748
Sum-1.321284801e-06
Variance1.000000001
2020-08-25T00:35:51.428327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.70311844310.1%
 
0.660810232210.1%
 
0.66278886810.1%
 
0.0343440324110.1%
 
-0.817080736210.1%
 
0.57489144810.1%
 
-0.177902236610.1%
 
-0.571990966810.1%
 
-0.634098470210.1%
 
0.871758818610.1%
 
-1.42710745310.1%
 
-0.315760821110.1%
 
-0.110757172110.1%
 
0.459313362810.1%
 
-1.13802874110.1%
 
0.448893129810.1%
 
1.2985409510.1%
 
1.48391675910.1%
 
1.08115422710.1%
 
-1.11847555610.1%
 
0.822906851810.1%
 
-0.828764021410.1%
 
0.746729910410.1%
 
0.275708377410.1%
 
1.5573242910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73683524110.1%
 
-1.73395335710.1%
 
-1.73262834510.1%
 
-1.73241829910.1%
 
-1.7281318910.1%
 
-1.7264132510.1%
 
-1.71718323210.1%
 
-1.71696221810.1%
 
-1.71427488310.1%
 
-1.71322870310.1%
 
ValueCountFrequency (%) 
1.71058094510.1%
 
1.71005880810.1%
 
1.70516872410.1%
 
1.70311844310.1%
 
1.69851183910.1%
 
1.6980383410.1%
 
1.69473779210.1%
 
1.69220185310.1%
 
1.69216883210.1%
 
1.690979610.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.770424079149962e-10
Minimum-1.7313824892044067
Maximum1.7072938680648804
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:51.554047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.731382489
5-th percentile-1.569599938
Q1-0.854043901
median-0.02321468573
Q30.8897171021
95-th percentile1.53539992
Maximum1.707293868
Range3.438676357
Interquartile range (IQR)1.743761003

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1477012354
Kurtosis-1.217051244
Mean-6.770424079e-10
Median Absolute Deviation (MAD)0.8797720252
Skewness-0.01534456422
Sum-6.770424079e-07
Variance1.000000001
2020-08-25T00:35:51.657979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.957029521510.1%
 
-0.877610981510.1%
 
0.989551067410.1%
 
-0.707712948310.1%
 
-1.21602809410.1%
 
1.41540777710.1%
 
-0.313747614610.1%
 
-0.44309252510.1%
 
1.38414728610.1%
 
1.61070084610.1%
 
-0.438733130710.1%
 
0.808720350310.1%
 
-0.472326219110.1%
 
-0.664722204210.1%
 
0.01338693510.1%
 
0.728217363410.1%
 
-1.07383215410.1%
 
0.51237350710.1%
 
-0.975909173510.1%
 
-0.403971284610.1%
 
0.373372048110.1%
 
-0.938148140910.1%
 
1.41210091110.1%
 
-0.850250065310.1%
 
0.480148941310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73138248910.1%
 
-1.72802507910.1%
 
-1.72470784210.1%
 
-1.72262549410.1%
 
-1.71899104110.1%
 
-1.71582508110.1%
 
-1.71565496910.1%
 
-1.71545565110.1%
 
-1.70808756410.1%
 
-1.7068412310.1%
 
ValueCountFrequency (%) 
1.70729386810.1%
 
1.7044938810.1%
 
1.7035621410.1%
 
1.7011380210.1%
 
1.68275725810.1%
 
1.68133044210.1%
 
1.67982149110.1%
 
1.67897164810.1%
 
1.67529594910.1%
 
1.6752159610.1%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.328344509005546e-11
Minimum-1.6695011854171753
Maximum1.7154167890548706
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:51.774545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.669501185
5-th percentile-1.526462758
Q1-0.8853952587
median-0.02035608701
Q30.895788312
95-th percentile1.55870747
Maximum1.715416789
Range3.384917974
Interquartile range (IQR)1.781183571

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1.36456467e+10
Kurtosis-1.241088525
Mean-7.328344509e-11
Median Absolute Deviation (MAD)0.8827519137
Skewness0.03498349801
Sum-7.328344509e-08
Variance1.000000002
2020-08-25T00:35:51.877428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.69140481910.1%
 
1.63933038710.1%
 
-0.96355760110.1%
 
0.705742955210.1%
 
0.18195979310.1%
 
0.711600720910.1%
 
-0.0976653173610.1%
 
-0.840501904510.1%
 
-1.54818844810.1%
 
0.140858784310.1%
 
0.0924474075410.1%
 
-0.910810291810.1%
 
-1.5013010510.1%
 
1.59895682310.1%
 
-1.63932704910.1%
 
0.467119783210.1%
 
0.709595024610.1%
 
1.09894013410.1%
 
0.163693353510.1%
 
-1.27080118710.1%
 
0.151525393110.1%
 
-0.53774106510.1%
 
-0.468089044110.1%
 
-1.34891545810.1%
 
-1.42703461610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.66950118510.1%
 
-1.66646754710.1%
 
-1.66554808610.1%
 
-1.65910887710.1%
 
-1.65662908610.1%
 
-1.65599703810.1%
 
-1.65061497710.1%
 
-1.64869725710.1%
 
-1.64716982810.1%
 
-1.64612126410.1%
 
ValueCountFrequency (%) 
1.71541678910.1%
 
1.70327317710.1%
 
1.70205998410.1%
 
1.70162475110.1%
 
1.69949674610.1%
 
1.69786059910.1%
 
1.69654285910.1%
 
1.69625461110.1%
 
1.69356107710.1%
 
1.69344162910.1%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.226551832544942e-09
Minimum-1.734408617019653
Maximum1.718671441078186
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:51.992834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.734408617
5-th percentile-1.567030936
Q1-0.8639487922
median0.005924633238
Q30.8596424758
95-th percentile1.566544855
Maximum1.718671441
Range3.453080058
Interquartile range (IQR)1.723591268

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-815293716
Kurtosis-1.194947829
Mean-1.226551833e-09
Median Absolute Deviation (MAD)0.861313662
Skewness-0.01257356279
Sum-1.226551833e-06
Variance1.000000003
2020-08-25T00:35:52.100688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.636707544310.1%
 
0.204759657410.1%
 
1.04047131510.1%
 
0.742889404310.1%
 
-1.01312196310.1%
 
-0.873746752710.1%
 
-1.38078784910.1%
 
-1.15373241910.1%
 
-0.946003317810.1%
 
0.189180195310.1%
 
0.398780107510.1%
 
-0.473974674910.1%
 
-0.0569275245110.1%
 
-1.23077964810.1%
 
-0.0139013016610.1%
 
-1.20564103110.1%
 
0.647130250910.1%
 
-0.722345471410.1%
 
-0.690122604410.1%
 
-0.905581176310.1%
 
0.766292333610.1%
 
0.492832124210.1%
 
-1.65366911910.1%
 
-1.20054125810.1%
 
-0.715502381310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73440861710.1%
 
-1.73233926310.1%
 
-1.73066794910.1%
 
-1.72898733610.1%
 
-1.7232261910.1%
 
-1.71831226310.1%
 
-1.70950996910.1%
 
-1.70476639310.1%
 
-1.69590580510.1%
 
-1.69399654910.1%
 
ValueCountFrequency (%) 
1.71867144110.1%
 
1.7178002610.1%
 
1.71594905910.1%
 
1.70771837210.1%
 
1.70658302310.1%
 
1.69758129110.1%
 
1.69697463510.1%
 
1.69396197810.1%
 
1.69380831710.1%
 
1.69324743710.1%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.899936124682426e-10
Minimum-1.6735527515411377
Maximum1.7265063524246216
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:52.218315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.673552752
5-th percentile-1.538037246
Q1-0.8665967733
median-0.05150071345
Q30.8868875802
95-th percentile1.55835827
Maximum1.726506352
Range3.400059104
Interquartile range (IQR)1.753484353

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)1449288785
Kurtosis-1.230747271
Mean6.899936125e-10
Median Absolute Deviation (MAD)0.8817982674
Skewness0.05615612647
Sum6.899936125e-07
Variance1.000000009
2020-08-25T00:35:52.320326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.11328065410.1%
 
-0.768201351210.1%
 
0.524085998510.1%
 
0.142739832410.1%
 
1.30598223210.1%
 
0.104328632410.1%
 
0.865878939610.1%
 
-1.07940769210.1%
 
-1.66113650810.1%
 
0.942043185210.1%
 
-0.36848089110.1%
 
0.298708498510.1%
 
-0.49054977310.1%
 
-1.65360331510.1%
 
-0.363943815210.1%
 
1.46118736310.1%
 
1.40743184110.1%
 
-0.250310212410.1%
 
0.496837079510.1%
 
-1.329361210.1%
 
0.0761251598610.1%
 
-0.0875693857710.1%
 
-1.39965474610.1%
 
1.44651794410.1%
 
0.429988563110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.67355275210.1%
 
-1.67259275910.1%
 
-1.67201662110.1%
 
-1.67137479810.1%
 
-1.66376161610.1%
 
-1.66282951810.1%
 
-1.66113650810.1%
 
-1.65968024710.1%
 
-1.65933144110.1%
 
-1.65465688710.1%
 
ValueCountFrequency (%) 
1.72650635210.1%
 
1.72469246410.1%
 
1.72231185410.1%
 
1.71389985110.1%
 
1.70639133510.1%
 
1.70475614110.1%
 
1.69900000110.1%
 
1.69840109310.1%
 
1.69687354610.1%
 
1.68980801110.1%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.740431904792786e-10
Minimum-1.7377492189407349
Maximum1.6994657516479492
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:52.435109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.737749219
5-th percentile-1.553983414
Q1-0.850198105
median-0.02249653451
Q30.8427764177
95-th percentile1.535808527
Maximum1.699465752
Range3.437214971
Interquartile range (IQR)1.692974523

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)2109512420
Kurtosis-1.205298727
Mean4.740431905e-10
Median Absolute Deviation (MAD)0.8541859221
Skewness-0.01703318178
Sum4.740431905e-07
Variance0.9999999962
2020-08-25T00:35:52.540284image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.519530236710.1%
 
0.100669167910.1%
 
-0.621885538110.1%
 
0.906938970110.1%
 
-0.320657134110.1%
 
0.194996774210.1%
 
-0.557327330110.1%
 
0.688185691810.1%
 
0.411474406710.1%
 
1.6185443410.1%
 
0.676459133610.1%
 
1.16541528710.1%
 
-0.545594632610.1%
 
-0.121253877910.1%
 
0.206222191510.1%
 
1.14710795910.1%
 
1.15109276810.1%
 
0.029622793210.1%
 
1.43566560710.1%
 
-0.977220535310.1%
 
1.41475927810.1%
 
-1.41147112810.1%
 
1.21224856410.1%
 
-1.52083337310.1%
 
0.569008290810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73774921910.1%
 
-1.73313832310.1%
 
-1.72946000110.1%
 
-1.72897589210.1%
 
-1.72748279610.1%
 
-1.72589814710.1%
 
-1.72047960810.1%
 
-1.719262610.1%
 
-1.71712255510.1%
 
-1.71471977210.1%
 
ValueCountFrequency (%) 
1.69946575210.1%
 
1.69916236410.1%
 
1.6941380510.1%
 
1.68915891610.1%
 
1.68894016710.1%
 
1.68660402310.1%
 
1.68523383110.1%
 
1.68514704710.1%
 
1.68460428710.1%
 
1.68145406210.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.848736226558686e-10
Minimum-2.377035140991211
Maximum3.509337902069092
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:35:52.653709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.377035141
5-th percentile-1.76911819
Q1-0.674327597
median0.1359715313
Q30.6490545124
95-th percentile1.404811317
Maximum3.509337902
Range5.886373043
Interquartile range (IQR)1.323382109

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1015358699
Kurtosis0.2401781502
Mean9.848736227e-10
Median Absolute Deviation (MAD)0.5981882364
Skewness-0.07036482193
Sum9.848736227e-07
Variance1.000000001
2020-08-25T00:35:52.753595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.446288943310.1%
 
0.135905906610.1%
 
-1.56384956810.1%
 
0.647299587710.1%
 
-0.000679672695710.1%
 
0.281300693810.1%
 
0.674499034910.1%
 
0.416658103510.1%
 
-1.85680365610.1%
 
0.51629030710.1%
 
3.40076947210.1%
 
0.0755220130110.1%
 
0.262048572310.1%
 
0.512376904510.1%
 
0.817063629610.1%
 
-0.0235189665110.1%
 
-0.0812147557710.1%
 
-0.893228769310.1%
 
1.28312230110.1%
 
0.90956586610.1%
 
-0.135903641610.1%
 
1.01548731310.1%
 
-0.50950419910.1%
 
-0.358719706510.1%
 
1.09893715410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.37703514110.1%
 
-2.3229463110.1%
 
-2.32006859810.1%
 
-2.24932193810.1%
 
-2.24789261810.1%
 
-2.24264025710.1%
 
-2.24187731710.1%
 
-2.21412849410.1%
 
-2.18358135210.1%
 
-2.18007230810.1%
 
ValueCountFrequency (%) 
3.50933790210.1%
 
3.40076947210.1%
 
3.3400502210.1%
 
3.23188972510.1%
 
2.99838137610.1%
 
2.94588279710.1%
 
2.92598986610.1%
 
2.7717368610.1%
 
2.71785235410.1%
 
2.67809128810.1%
 

Interactions

2020-08-25T00:34:39.932744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:40.094853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:40.256852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:40.423986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:40.585721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:40.748095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:40.910474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:41.071990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:41.238944image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:41.401511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:41.564248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:41.723847image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:41.889030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:42.051263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:42.377613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:42.538950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:42.700719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:42.881279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:43.043253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:43.207455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:43.370298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:43.534980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:43.703943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:43.869112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:44.033023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:44.194080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:44.357855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:44.522212image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:44.681998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:44.845953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.012041image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.173529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.333224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.505832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.666779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.830116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:45.996882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:46.168925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:46.340447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:46.506275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:46.673916image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:46.836001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:46.999617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:47.330831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:47.496308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:47.657610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:47.819628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:47.982073image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:48.142757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:48.306329image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:48.469713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:48.638730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:48.818932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:48.986120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:49.148266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:49.309453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:49.471519image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:49.631895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:49.800116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:49.963977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:50.123180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:50.286475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:50.448722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:50.614152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:50.776380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:50.952510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:51.118221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:51.281644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:51.447969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:51.612827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:51.774502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:51.937962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:52.269708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:34:52.436146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:35:27.397624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:27.557034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:27.721331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:27.882960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:28.043726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:28.207115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:28.368208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:28.528129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:28.693998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:28.856910image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.018775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.182501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.342515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.509677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.677680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.837943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:29.998598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:30.164870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:30.324705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:30.486176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:30.644531image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:30.804588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:30.972852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:31.137841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:31.471661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:31.633752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:31.803675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:31.965749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:32.127815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:32.291678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:32.456070image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:32.616603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:32.780838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:32.942169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:33.103621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:33.267286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:33.426270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:33.587196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:33.750759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:33.913060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:34.070742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:34.239338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:34.402659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:34.564667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:34.726101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:34.887534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:35.054786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:35.217030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:35.383245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:35.545506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:35.706972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:35.875120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:36.036680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:36.365780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:36.527025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:36.688120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:36.850294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.009109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.174493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.338114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.505565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.666366image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.831025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:37.991733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:38.153404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:38.315789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:38.475310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:38.635351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:38.799459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:38.967269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:39.132080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:39.303822image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:39.460508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:39.619836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:39.781176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:39.941798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:40.103276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:40.264162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:40.436337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:40.597129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:40.753546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:40.923087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:41.243633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:41.405978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:41.574185image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:41.735080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:41.900467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:42.081616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:42.242014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:42.403257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:42.564414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:42.728513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:42.889869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:43.051539image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:43.212778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:43.372982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:43.538612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:43.699766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:43.864746image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.028228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.185848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.343155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.499066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.652526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.807917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:44.963112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:45.117637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:45.272883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:45.429440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:45.585450image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:45.743600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.068715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.221664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.376782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.529510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.681963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.836748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:46.993259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:47.155010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:47.308315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:35:53.070276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:35:53.373951image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:35:53.682195image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:35:53.991434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:35:47.603603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:35:48.077237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
0-0.3088071.3645830.363711-0.596893-0.7718681.4999820.314665-0.085703-1.6806881.161165-0.301433-0.069552-0.976338-0.1054520.6079010.840837-1.1064120.2135270.9650740.109133
1-0.0314001.242071-1.416386-0.7127401.0415300.554964-1.0351120.8051660.420330-1.544434-1.666035-0.258260-0.3069981.661929-0.333759-0.8858040.337305-1.270805-1.1926570.124354
20.3743491.2776141.484474-0.0306001.547374-1.6192000.4843001.620172-0.2402431.4545460.846672-0.205274-1.220022-0.7408151.560611-0.777771-0.565837-0.326412-1.7274830.892708
3-0.493306-0.381747-0.206455-0.373830-0.445288-0.3570290.0998500.438235-1.2688841.6696730.2858950.5780021.2991291.349970-0.256293-0.7000940.2892381.572013-0.240751-0.321099
40.410321-0.563646-0.770278-0.245333-1.6542361.4361750.284746-1.205470-1.0871730.825522-1.066762-0.125578-1.357452-1.5225030.773686-1.5589860.806614-1.185018-0.8840121.261590
51.4753531.5355400.6181421.742418-1.3592930.681168-0.430193-1.5962331.052981-0.7937410.970955-0.430281-0.436889-1.086613-0.495537-1.130730-1.253559-0.2834330.687719-0.279550
60.824448-0.172467-0.791548-0.708050-1.325595-0.838356-0.8744491.180237-0.9601151.516924-1.7309720.4640631.3952950.2390791.4487920.1893830.533166-0.5593900.7170210.721725
7-1.6544780.6550410.3741170.687214-0.469907-1.6255921.2926351.297360-1.491218-0.623232-1.453620-0.791224-1.170992-1.103676-1.154499-0.671333-0.542760-0.7734840.842571-1.278785
81.3437220.400846-0.4556141.210769-1.195561-0.9919990.5187981.7021811.598639-0.2666810.7176660.5056740.3152990.8299080.533973-1.4692520.600068-0.929324-0.968415-0.064881
91.1994331.0677190.721029-1.0299770.1214020.450377-1.646550-0.413374-0.826528-1.2217670.717989-0.852775-0.3770500.148254-1.390506-0.932611-1.653669-0.6458910.989273-1.146752

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
9900.048850-1.2513221.5182431.2600920.6716560.9792410.948892-0.4265890.7883791.298700-1.603522-0.681833-1.6231250.6195220.564514-0.134637-0.1754400.4604301.0050630.949479
9911.4818411.038212-0.1296520.0527620.162048-0.5109000.541474-0.4284730.056008-0.827128-1.5330760.869431-1.144992-0.056194-0.8367991.384473-0.715191-1.392346-1.1777600.384291
992-1.2592960.7832620.443040-0.3023931.588314-1.7091190.017476-0.5156550.312862-0.821970-0.189169-0.449710-1.413744-1.363088-1.0835321.4182170.059029-1.411762-0.132629-0.282195
993-1.305332-1.310359-0.814254-0.794622-0.856670-1.2640550.569695-0.9347531.5736150.155669-0.815034-0.6994140.837821-1.2276750.1264830.7142230.3584260.6769881.3089090.529648
9941.6006891.1408900.352460-0.8855940.0413320.8093740.4500660.9605140.9913590.224001-1.392839-0.573608-0.6306410.973355-0.4818030.573133-1.526734-0.391492-0.6265710.094576
9950.8614140.1554351.309508-1.409554-0.4932070.7076830.260323-1.206104-0.9022011.7055970.439208-1.358872-1.3167490.741139-1.207269-1.5694831.6593181.344250-1.6296770.832072
996-0.8952130.7360070.3162220.999697-1.635451-1.4699870.8304171.7157180.8704270.746409-0.449818-0.483459-0.858615-0.3739171.405735-0.793654-1.457509-0.130855-1.4860130.877186
9971.249426-0.7288440.667695-0.0911920.9420970.451040-1.4760740.8506380.026148-0.463800-0.156235-0.7635161.557771-0.367004-1.5703380.052047-1.648313-0.4075110.945564-0.961893
998-1.4642940.411104-1.451854-0.229923-0.180976-0.4801911.426092-1.641893-1.4671620.044210-0.009051-0.9352190.3384101.414144-1.7189911.171662-1.157216-1.6596801.534379-0.500732
9991.367377-0.222000-1.736978-0.865347-0.5276850.6425801.644964-0.1074640.871046-0.550972-1.332154-0.6522621.0604881.7105811.279119-0.076905-1.268037-0.1217480.3814450.975538